Instructions to use stevenbucaille/efficientloftr with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use stevenbucaille/efficientloftr with Transformers:
# Load model directly from transformers import AutoImageProcessor, AutoModelForKeypointMatching processor = AutoImageProcessor.from_pretrained("stevenbucaille/efficientloftr") model = AutoModelForKeypointMatching.from_pretrained("stevenbucaille/efficientloftr") - Notebooks
- Google Colab
- Kaggle
Add image processor
Browse files- preprocessor_config.json +1 -1
preprocessor_config.json
CHANGED
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@@ -2,7 +2,7 @@
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"do_grayscale": true,
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"do_rescale": true,
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"do_resize": true,
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"image_processor_type": "
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"resample": 2,
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"rescale_factor": 0.00392156862745098,
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"size": {
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"do_grayscale": true,
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"do_rescale": true,
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"do_resize": true,
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"image_processor_type": "EfficientLoFTRImageProcessor",
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"resample": 2,
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"rescale_factor": 0.00392156862745098,
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"size": {
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